Energy Efficient Disassembly Sequence Generation Using Subassembly Detection Method with Environmental and Economic Parts Selection
Abstract
Supply chains have been more serious for environmental issues for not only the reduction of CO2 emission but also for material starvation. To enhance a closed loop supply chain for assembled product, a disassembly system is required. At end-of-life, the assembly products at recycling organization should be disassembled environmentally and economically for not only low carbonization but also of material circulation. This recycling and reusing of product enables to reduce CO2 release because the virgin materials which release CO2 volumes caused by production and logistics can be saved by the usage of the recovered materials. Parts with higher recycling and CO2 saving rates ought to be chosen and physically disassembled, but the manual disassembly brings a higher cost, rather than discarding the parts. Therefore, material recovery value is also to be considered for parts selection during the assembly operation. Parts information like material recovery value, CO2 release, weight, precedence relationships are required for environmental and economic parts selection. This study proposes a CAD based approach for environmental and economic parts selection for disassembly using solid works sustainability. It considers higher CO2 saving rate, higher recycling rate and higher material recovery value as environmental and economic criteria for parts selection.
